MSA-LMC / S2D

[TAFFC 2024] The official implementation of paper: From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos

Date Created 2023-11-14 (about a year ago)

Commits 24 (last one 22 days ago)

Stargazers 49 (0 this week)

Watchers 5 (0 this week)

Forks 1

License apache-2.0

Ranking

RepositoryStats indexes 584,353 repositories, of these MSA-LMC/S2D is ranked #468,686 (20th percentile) for total stargazers, and #332,313 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #89,468/116,326.

MSA-LMC/S2D is also tagged with popular topics, for these it's ranked: transfer-learning (#254/310)

Other Information

Homepage URL: https://ieeexplore.ieee.org/document/10663980

All Topics

adapater image-to-video transfer-learning facial-expression-recognition dynamic-facial-expression-recognition

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24 commits on the default branch (main) since jan '22

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updated: 2024-11-20 @ 04:44am, id: 718661629 / R_kgDOKtXn_Q